On Reinforcement Learning for Turn-based Zero-sum Markov Games
© 2020 Owner/Author. We consider the problem of finding Nash equilibrium for two-player turn-based zero-sum games. Inspired by the AlphaGo Zero (AGZ) algorithm, we develop a Reinforcement Learning based approach. Specifically, we propose Explore-Improve-Supervise (EIS) method that combines "exp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
ACM,
2021-11-02T17:41:39Z.
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| Subjects: | |
| Online Access: | Get fulltext |